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浏览/检索结果: 共5条，第1-5条 帮助 已选(0)清除 条数/页：5101520253035404550556065707580859095100   排序方式：请选择作者升序作者降序题名升序题名降序发表日期升序发表日期降序提交时间升序提交时间降序 Abrupt motion tracking of plateau pika (Ochotona curzoniae) based on local texture and color model 期刊论文 农业工程学报, 2016, 卷号: 32, 期号: 11, 页码: 214-218 作者:  Chen, Haiyan;  Zhang, Aihua;  Hu, Shiya 收藏  |  浏览/下载：4/0  |  提交时间：2017/01/16 Monte Carlo methods  Color  Color codes  Computer vision  Ecosystems  Errors  Graphic methods  Image processing  Markov processes  Models  Motion analysis  Motion estimation  Pixels  Random processes  Stochastic systems  Surface discharges  Target tracking  Tracking (position)  Difference operators  Frame difference methods  Markov chain monte carlo samplings  Motion information  Object Tracking  Ochotona curzoniae  Qinghai Tibet plateau  Structure information   Abrupt motion tracking of plateau pika (Ochotona curzoniae) based on local texture and color model 期刊论文 Nongye Gongcheng Xuebao/Transactions of the Chinese Society of Agricultural Engineering, 2016, 卷号: 32, 期号: 11, 页码: 214-218 作者:  Chen, Haiyan;  Zhang, Aihua;  Hu, Shiya 收藏  |  浏览/下载：7/0  |  提交时间：2020/11/14 Color  Color codes  Ecosystems  Errors  Graphic methods  Markov processes  Models  Motion analysis  Pixels  Stochastic systems  Surface discharges  Target tracking  Textures  Difference operators  Frame difference methods  Markov chain monte carlo samplings  Motion information  Object Tracking  Ochotona curzoniae  Qinghai Tibet plateau  Target representation   Object tracking method of Ochotona curzoniae based on guidance of motion information 期刊论文 Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery, 2015, 卷号: 46, 期号: 9, 页码: 34-38 and 8 作者:  Chen, Haiyan;  Zhang, Aihua;  Hu, Shiya 收藏  |  浏览/下载：14/0  |  提交时间：2020/11/14 Markov processes  Tracking (position)  Frame difference methods  Markov Chain Monte-Carlo  Motion information  Object Tracking  Ochotona curzoniae  Smoothness constraints  Tracking performance  Tracking strategies   A method of hand gesture segmentation and tracking with appearance based on probability model 会议论文 Shanghai, China, December 21, 2008 - December 22, 2008 作者:  Zhang, Qiu-Yu;  Zhang, Mo-Yi;  Hu, Jian-Qiang 收藏  |  浏览/下载：7/0  |  提交时间：2020/11/15 Color  Gesture recognition  Object tracking  Probability distributions  Accurate location  Complex background  Frame difference methods  Moving informations  Probability modeling  Segmentation and tracking  Size and position  Skin-color information   Intelligent MRTD testing for thermal imaging system using ANN (EI CONFERENCE) 会议论文 ICO20: Remote Sensing and Infrared Devices and Systems, August 21, 2005 - August 26, 2005, Changchun, China Sun J.; Ma D. 收藏  |  浏览/下载：18/0  |  提交时间：2013/03/25 The Minimum Resolvable Temperature Difference (MRTD) is the most widely accepted figure for describing the performance of a thermal imaging system. Many models have been proposed to predict it. The MRTD testing is a psychophysical task  for which biases are unavoidable. It requires laboratory conditions such as normal air condition and a constant temperature. It also needs expensive measuring equipments and takes a considerable period of time. Especially when measuring imagers of the same type  the test is time consuming. So an automated and intelligent measurement method should be discussed. This paper adopts the concept of automated MRTD testing using boundary contour system and fuzzy ARTMAP  but uses different methods. It describes an Automated MRTD Testing procedure basing on Back-Propagation Network. Firstly  we use frame grabber to capture the 4-bar target image data. Then according to image gray scale  we segment the image to get 4-bar place and extract feature vector representing the image characteristic and human detection ability. These feature sets  along with known target visibility  are used to train the ANN (Artificial Neural Networks). Actually it is a nonlinear classification (of input dimensions) of the image series using ANN. Our task is to justify if image is resolvable or uncertainty. Then the trained ANN will emulate observer performance in determining MRTD. This method can reduce the uncertainties between observers and long time dependent factors by standardization. This paper will introduce the feature extraction algorithm  demonstrate the feasibility of the whole process and give the accuracy of MRTD measurement.